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How to Use Generative AI | Grammarly | Virtual Research Assistant? Are you struggling to brainstorm research ideas or refine your research process? Let's explore the Generative AI feature of Grammarly and understand its use as our research assistant! 1. Getting started: downloading, installing, and opening Grammarly's Generative AI feature. 2. Brainstorming like a professional: Generate several research ideas with just a starting tentative research title (For example, Algorithm Selection Using Edge ML and Case-based Reasoning). 3. See how Grammarly helps in refining and improving initial thoughts. 4. Crafting a professional abstract: Get expert-level guidance on drafting a professional research abstract using Generative AI. 5. Building your research framework: Utilize the Generative AI feature of Grammarly to generate balanced research outlines 6. Crafting or formulating research statements, objectives, insightful questions and many more. The video showcases real-world results from using Generative AI in research. As a researcher in this example field myself, I've personally evaluated the content and can confidently say its accuracy and relevance are incredible. This tool is a game-changer, especially for beginners! Watch now and see how Grammarly's Generative AI can empower your research journey. #ResearchAssistant #GenerativeAI #Grammarly #Brainstorming https://lnkd.in/dztTCchK

🎉 Exciting News! I've just completed the "Generative AI" course by DeepLearning.AI, marking my fourth course in the fascinating world of Machine Learning and AI. This comprehensive course covered the essentials and more: 📚 What is Generative AI? An introduction to the capabilities and limitations of this transformative technology. 📚 Understanding Large Language Models (LLMs): A deep dive into how these models function and their applications. 📚 Practical Application: Insights on integrating Generative AI within business processes to enhance innovation. 📚 The Art of Prompting: Learning the skills to effectively communicate with AI to achieve desired outcomes. 📚 Project Lifecycle: From conception to deployment, understanding the stages of a Generative AI project. 📚 Model Selection: Strategies to choose the right model for specific tasks. 📚 Enhancing Performance: Techniques like Retrieval-Augmented Generation (RAG), fine-tuning, and leveraging pretrained models to boost efficacy. A special thanks to Andrew Ng for the insightful instruction and guidance throughout this journey. I'm thrilled to continue exploring the intersection of AI technology and practical applications. If you're curious about how Generative AI can transform your business or just want to chat about the latest in AI, feel free to connect! #GenerativeAI #MachineLearning #AI #DeepLearningAI #TechnologyInnovation

→ 𝐖𝐞𝐞𝐤 7: 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) & 𝐖𝐞𝐞𝐤 8: 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬! Are you busy but want to learn more about AI? You are not alone. I see so many business leaders overwhelmed by the latest advancements. Plenty of courses are available, but finding the time is challenging. I've selected a few 𝒇𝒓𝒆𝒆 𝒔𝒉𝒐𝒓𝒕 𝒗𝒊𝒅𝒆𝒐𝒔 and structured some relevant AI content in weeks. With a commitment of less than one hour per week, you can build a minimum knowledge foundation for this fantastic field. Tag along, and let's go! 𝐖𝐞𝐞𝐤 1: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐈 ▪ The history of AI: https://lnkd.in/eKKeSkiU ▪ Overview of AI: https://lnkd.in/ek3H6nws ▪ Important questions about AI: https://lnkd.in/ebnqzhkq ▪ Types of AI: https://lnkd.in/eAsBwJ4v 𝐖𝐞𝐞𝐤 2: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐬𝐢𝐜𝐬 ▪ Machine learning in 100 seconds: https://lnkd.in/eKS8jn98 ▪ Machine learning applications: https://lnkd.in/exVwwb_j ▪ Introduction to Machine Learning: https://lnkd.in/eqHahZmv ▪ What is Machine Learning? https://lnkd.in/e4W2B4K2 𝐖𝐞𝐞𝐤 3: 𝐒𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐚𝐧𝐝 𝐮𝐧𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 ▪ What is supervised learning? https://lnkd.in/e-yq3uq6 ▪ What is unsupervised learning? https://lnkd.in/eKtjUzsU ▪ Supervised vs. Unsupervised: https://lnkd.in/eJKrRFhf ▪ Semi-supervised learning: https://lnkd.in/eUkhExSy 𝐖𝐞𝐞𝐤 4: 𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ▪ Reinforcement learning in 90 seconds: https://lnkd.in/ekFWugQE ▪ Introduction to Reinforcement learning: https://lnkd.in/ekFREq5w Quick introduction to Reinforcement learning: https://lnkd.in/eADg4ARg 𝐖𝐞𝐞𝐤 5: 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ▪ Machine learning vs Deep Learning: https://lnkd.in/eArEfCzV ▪ But what is a Neural Network?: https://lnkd.in/eTwfPY_U ▪ What is deep learning: https://lnkd.in/eWFE9Vcb 𝐖𝐞𝐞𝐤 6: 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 ▪ Generative AI in a Nutshell: https://lnkd.in/e5GyFwbW ▪ Introduction to Generative AI: https://lnkd.in/egWq6E3y ▪ Transformers, explained: https://lnkd.in/ed-gZexr 𝐖𝐞𝐞𝐤 7: 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) ▪ What is NLP: https://lnkd.in/exqRfyCb ▪ NLP vs. NLU vs. NLG: https://lnkd.in/evTGZ52N 𝐖𝐞𝐞𝐤 8: 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐨𝐛𝐨𝐭𝐢𝐜𝐬 ▪ Computer vision crash course: https://lnkd.in/ep4R8Z-k ▪ How are robots built? https://lnkd.in/etD9tNfw ▪ Latest updates: https://lnkd.in/eRmwRZuj 𝐖𝐞𝐞𝐤 9: 𝐄𝐭𝐡𝐢𝐜𝐬 𝐚𝐧𝐝 𝐀𝐈 𝐖𝐞𝐞𝐤 10: 𝐀𝐈 𝐢𝐧 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐖𝐞𝐞𝐤 11: 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐓𝐨𝐩𝐢𝐜𝐬 𝐢𝐧 𝐀𝐈 𝐖𝐞𝐞𝐤 12: 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈

[How Coding Drives Artificial Intelligence and ML] In this section, we will explore how coding plays a crucial role in driving Artificial Intelligence (AI) and Machine Learning . . . https://lnkd.in/dqmsa775

AI: Supercharging Deep Learning, Reshaping Computing The future is getting smarter, fueled by the dynamic duo of AI and deep learning. Here's how they're poised to revolutionize the world: 1. AI-powered model optimization: AI algorithms can analyze deep learning models, identifying inefficiencies and suggesting tweaks for faster training and improved accuracy. 2. Automated hyperparameter tuning: Tedious manual tuning becomes a thing of the past. AI can find the optimal hyperparameter settings for deep learning models, saving time and resources. 3. Data-efficient learning: AI can help extract meaningful insights from smaller datasets, enabling deep learning models to perform well even with limited data. 4. Hardware co-design: AI is influencing the design of specialized hardware for deep learning, leading to faster processing and lower power consumption. These advancements are laying the groundwork for a future where deep learning applications become: 5. More accessible: With AI-powered tools, even individuals with limited expertise can leverage the power of deep learning. 6. More pervasive: Deep learning will integrate seamlessly into various industries, from healthcare and finance to manufacturing and entertainment. 7. More efficient: AI will optimize deep learning models, leading to faster processing times and reduced costs. This is just the beginning of an exciting journey! Stay tuned for more updates on the evolving landscape of AI, deep learning, robotics and more by following Curious Cyborgs : Instagram: https://lnkd.in/gqYXv7xU YouTube: https://lnkd.in/gze9T8WX X : https://lnkd.in/grBxeFpf #AI #DeepLearning #FutureofComputing #Robotics #Technology #Innovation #linkedininsights #linkedinconnection #linkedinengagement #linkedingrowth #learningjourney #newbeginnings #connectandgrow #followformore #followforupdates #linkedin #cyborg #deeplearning #neuralnetworks #neuralink #knowledgesharing #robotics #roboticsengineering #innovation #sora #gemini #geminipro

🌟 Unleash the power of Generative AI: Revolutionizing IT! 🌟 Generative AI is a cutting-edge technology that allows machines to generate new data, images, or text based on patterns learned from existing data. This revolutionary tool is transforming the way IT professionals work and innovate in today's fast-paced digital world. Here are 4 key points on how Generative AI works: 1. Utilizes deep learning algorithms to analyze and understand complex patterns within data. 2. Generates new content by predicting and filling in missing information based on learned patterns. 3. Can be used for creating realistic images, writing code snippets, or even composing music. 4. Enhances productivity by automating repetitive tasks and providing valuable insights for decision-making. Join the AI revolution today and unlock endless possibilities with Generative AI! 💻✨ #GenerativeAI #ITInnovation #EngineersOfTheFuture

I just finished a Course on Build Your Generative AI Productivity Skills with Microsoft and LinkedIn. This course aims to provide a comprehensive understanding of generative AI, covering fundamental concepts of Copilot, Prompt Engineering and its practical implementations. #generativeai #artificialintelligencefordesign #artificialintelligenceforbusiness #productivityimprovement #promptengineering

When it comes to AI tools and comparing your options, think about it the same way you would if you were picking out a school for yourself or your kids: AI, as a student, is like all students. In order to have the best chance at doing its best work, it needs to learn from the best, too. For AI, the best teacher is a comprehensive dataset.

🔍 What is a Machine Learning Model? Curious about machine learning? A machine learning model is a mathematical representation designed to learn patterns from data. Here's a quick breakdown: Data Input: Models are trained on datasets that include inputs and corresponding outputs. Training: During training, the model learns to recognize patterns and make predictions by minimizing errors. Prediction: Once trained, the model can make predictions on new, unseen data, providing valuable insights and automation. Machine learning models power everything from recommendation systems to advanced AI applications. 💡 Want more insights like this? Follow me Shahid Mehmood for daily updates and tips on machine learning, AI, and data science. Let's grow together and share our knowledge! #MachineLearning #AI #DataScience #TechEducation #CareerGrowth #CommunitySupport

Let’s talk about Artificial Intelligence! 🧠 In this workshop, Evo Learning Academy encourages learners of all ages to add their voice to one of the biggest conversations in tech today, the development of generative AI! ❓What exactly is AI, machine learning and artificial general intelligence? ❓How are AI models developed? ❓How can AI help our society? ❓What are the limitations and concerns around AI? ❓How can YOU get involved in developing AI? Dive into these important questions and more with Evo Learning Academy’s Artificial Intelligence workshop! Connect with Evo Learning Academy today at evolearningacademy.com to explore the possibilities of AI with your community of learners! 💚 #techeducation #aiforeducation #aieducation #aiforgood #stemeducationforkids #k12education